- title = "Learning Visual Feature Detectors for Obstacle Avoidance Using Genetic Programming",
- author = "Andrew J. Marek and William D. Smart and Martin C. Martin",
- booktitle = "Late Breaking Papers at the Genetic and Evolutionary Computation Conference ({GECCO-2002})",
- editor = "Erick Cant{\'u}-Paz",
- year = "2002",
- month = jul,
- pages = "330--336",
- address = "New York, NY",
- publisher = "AAAI",
- publisher_address = "445 Burgess Drive, Menlo Park, CA 94025",
-
URL = "
http://www.martincmartin.com/papers/LearingVisualFeatureDetectorsForObstAvoidGP_GECCO2002Marek.pdf",
-
URL = "
http://citeseer.ist.psu.edu/563994.html",
- keywords = "genetic algorithms, genetic programming",
- size = "7 pages",
- abstract = "In this paper, we use Genetic Programming (GP) techniques to learn visual feature detectors for a mobile robot navigation task. We provide results from a number of environments, each with different characteristics, and draw conclusions about the performance and nature of the training and testing data. We explore the utility of seeding the initial population with a previously evolved individual, and compare this to previous work, where a hand-coded individual was successfully used as an initial seed. Our experiments exhibited a peculiar bi-modality in final performance. An individual either performed very well or very poorly, with nothing in between. We analyse this phenomenon, and offer suggestions as to its cause, and how to alleviate the problem. We explore the utility of seeding the initial population with a previously evolved individual, and compare this to previous work, where a hand-coded individual was successfully used as an initial seed.",
-
notes = "Late Breaking Papers, {GECCO-2002}. A joint meeting of
the eleventh International Conference on Genetic
Algorithms ({ICGA-2002}) and the seventh Annual Genetic
Programming Conference ({GP-2002}) part of
cantu-paz:2002:GECCO:lbp
Suggests negative impact of seed in initial population p335",
